Pattern Discrimination Based on an Exponential Error Criterion,
RAND CORP SANTA MONICA CA
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This paper introduces a new error criterion for use in the determination of discriminant functions for pattern recognition. The criterion, which is based on an exponential weighting of discriminant function values, combines the ability to assure the error-free classification of separable training patterns with the desirable extrapolative performance usually associated with classifiers based on the pattern statistics.
- Statistics and Probability